Although reciprocal recommendation received less attention in the fairness literature, an existing requirement is to mitigate inequalities in utility between users [1]}, [2]}, similarly to the eq. exposure criterion in one-sided recommendation. This leads to a trade-off between the sum of utilities and inequality typically measured by the Gini index. For Task 1, we use the GGF (REF ) with \({w}_i = (1 - \lambda ) + \lambda \cdot \frac{n - i + 1}{n},\)  which yields a trade-off function between the sum of utilities and inequality of utilities, and we vary \(\lambda \)  in \((0,1)\)  to generate such trade-offs:
\(F_{{w}}(P) = (1 - \lambda ) \sum _{i=1}^n u_i(P) + \lambda \sum _{i=1}^n \frac{n - i + 1}{n} u_i^\uparrow (P).\) 
